Reddit Flair Detector

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A web app to predict reddit flairs of India subredit posts by the url(s) provided by the users using Machine Learning algorithms. This is the web app link and this is the automated_testing link

Important Files and Directories

The main directory is a django application hosted on heroku. The important directories and files are as follows:

• media: This folder is used to store the uploaded text file (from automated_testing route) for reading the urls.

• Notebooks and data: This directory contains the notebooks,data collected from reddit and trained ml models.

• Notebooks and data/Notebooks: This directory contains all the notebooks used in this project.

• Notebooks and data/models: This directory contains trained ml models and the preprocessor for them in .sav file format.

• Notebooks and data/train_testdata: This directory contains the data collected in train-test splits to get the same results.

• reddit_flair_detector: The directory for the web app which uses machine learning models and shows/sends the results.

• manage.py: The file to run the server.

• webapp: Contains the setting and config files for reddit_flair_detector.

Steps to execute project

• Clone the repository in your system.
• cd into repository folder.
• Create a virtual environment using Anaconda/virtualenv and activate it.
• Run the command pip install -r requirements.txt.
• To start the server execute python manage.py runserver
• After start it will provide the IP address. Copy this and paste it in the web browser.
• For automated testing:
  • The required key for automated testing is upload_file
  • The url for automated testing after running locally will be (example) http://127.0.0.1:8000/automated_testing

Important Packages:

• Praw
• numpy
• pandas
• matplotlib
• scikit-learn
• django
• Seaborn